Pacerift
GPS route, speed, acceleration and braking analysis using the Android phone you already carry. Offline capable, free, and no extra logger required.
Explore the app ↗Choose by the data you need and the gear you want to carry.
GPS route, speed, acceleration and braking analysis using the Android phone you already carry. Offline capable, free, and no extra logger required.
Explore the app ↗Purpose-built hardware can provide higher-rate positioning and direct mounting options. It adds equipment cost, installation and a separate data workflow.
Built to keep a route and directions visible. Detailed post-ride acceleration, braking and motion analysis may require another tool.
The Pacerift Compact Pod is intended to add hard-mounted motion sensing and more analytics. The phone app remains useful on its own.
Learn about the Compact Pod ↗Capabilities vary by device and setup. Phone-based speed and motion analysis is not calibrated motorsport instrumentation.
See how speed and corner radius shape lateral acceleration and an idealized lean estimate. Adjust either control; the readout updates instantly.
Open the full Telemetry Lab ↗Ideal coordinated-turn model only. Not measured vehicle data or a riding recommendation.
Engineering notes for riders who want to understand how GPS and inertial signals become a readable ride profile. These are processing concepts, not a claim that a phone replaces calibrated chassis-mounted motorsport instrumentation.
A low-pass Butterworth response attenuates high-frequency noise while retaining the ride-scale motion that matters. For order n and cutoff fc, the squared magnitude response is:
|H(jω)|² = 1 / (1 + (ω / ωc)2n)Cutoff selection trades noise rejection against transient response. Filtering should preserve acceleration and braking events rather than over-smooth them.
For samples in a local window, compute the median m and median absolute deviation (MAD). Flag an outlier when:
|xᵢ − m| > k · 1.4826 · MADThe scale factor makes MAD comparable to standard deviation for normally distributed noise. A flagged sample can be replaced with the window median or marked for downstream handling.
Orientation quaternions rotate measured acceleration from device coordinates into a chosen reference frame:
aworld = q ⊗ adevice ⊗ q⁻¹Gravity compensation and axis alignment help estimate linear acceleration. Orientation drift and phone placement remain sources of uncertainty.
Longitudinal acceleration is estimated from velocity change over time. For a turn at speed v and radius r, lateral acceleration is:
alat = v² / r G = a / 9.80665 m·s⁻²An ideal coordinated-turn lean estimate follows tan(θ) = v²/(r·g). Phone-only estimates are affected by mounting, vibration, road camber, tire dynamics and sensor drift.
PHONE SENSORS SUPPORT RIDE ANALYSIS · THE OPTIONAL PACERIFT POD IS DESIGNED TO ADD DIRECT CHASSIS MEASUREMENT
FREE · OFFLINE READY · ANDROID
Open the Google Play listing on your Android phone.
PACERIFT / GOOGLE PLAYOpen Google Play ↗